Pretrained Models for Automated Stromal TILs Scoring

This repository contains the pretrained deep learning models used in the TILs-Scoring pipeline for automated quantification of stromal tumor-infiltrating lymphocytes (TILs) in breast cancer histopathology images. The archive includes three models: 1. TILs segmentation model (TransUNet)2. Stroma segmentation model (MobileViT-DeepLabV3+)3. TILs quantification regression model These models correspond to the code available at:https://github.com/Shrief-Abdelazeez/TILs-Scoring